학술논문

A Block-wise Histogram Shifting based Reversible Data Hiding Scheme with Overflow Handling
Document Type
Conference
Source
2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Computing, Communication and Networking Technologies (ICCCNT), 2020 11th International Conference on. :1-6 Jul, 2020
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Histograms
Data mining
Receivers
Partitioning algorithms
Indexes
Image coding
Gray-scale
Reversible data hiding
Histogram shifting
Overflow handling
Secure message transmission
Language
Abstract
Design and development of reversible data hiding schemes are widely studied topic due to its wide scope in cloud computing and medical image transmission. This paper introduces a new reversible data hiding algorithm based on the histogram of the blocks of the cover images with an efficient overflow management technique. In the new scheme, the peak intensity value from each block is used for data hiding, and to make sure the correct recovery of the original image, the grayscale value used for data hiding from each block is embedded in the same block itself by replacing the least significant bits of eight selected pixels. The lossless recovery is ensured by embedding those least significant bits in the same block itself along with the secret message. Detailed theoretical analysis and experimental study of the scheme are carried out and discussed in this paper. The images from the standard image dataset of the University of Southern California (USC-SIPI) are used in our study.